Abstract
Compared with spectral bands and vegetation indices, the tasseled cap transformation (TCT) components can associate remote sensing spectral information with physical characteristics of vegetation classes, and can yield slightly better classification results. However, the TCT parameters must be recalculated for a new sensor or a different spectral feature data (digital number (DN), reflectance factor, or at-satellite reflectance). In this paper, the TCT parameters appropriate for the spectral reflectance of fused high spatial resolution multispectral images from Gaofen 2 (GF-2) were derived based on the optimal seasonal image (April 30, 2016) for classifying the quasi-circular vegetation patches sparsely distributed in the Yellow River Delta, China. The tasseled cap parameters from this study will enhance the applications of GF-2 images in detecting vegetation patch pattern, classifying crop types, mapping the dieback of forest and forest health, and monitoring land use and land cover changes.
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